Skip to main navigation
Skip to search
Skip to main content
the UWA Profiles and Research Repository Home
Login
Link opens in a new tab
Search content at the UWA Profiles and Research Repository
Home
Profiles
Organisations
Research output
Grants
Datasets
Prizes / Awards
Engagement / Activities
Press/Media
Units
Equipment
Impacts
A Machine Learning Framework for Concrete Workability Estimation
Zhang, Jian
(Investigator 01)
Bennamoun, Mohammed
(Investigator 02)
Chang, Xiaojun
(Investigator 03)
Sirivivatnanon, Vute
(Investigator 04)
Richmond, Angus
(Investigator 05)
Butcher, Roy
(Investigator 06)
Computer Science and Software Engineering
Overview
Research output
(1)
Project Details
Status
Active
Effective start/end date
16/03/24
→
16/03/27
Funding
ARC Australian Research Council :
A$93,810.00
ARC Australian Research Council :
A$93,810.00
ARC Australian Research Council :
A$93,810.00
View all
View less
Research output
Research output per year
2024
2024
2024
1
Article
Research output per year
Research output per year
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
Xu, L.
,
Bennamoun, M.
,
Boussaid, F.
, Laga, H., Ouyang, W. & Xu, D.,
Dec 2024
,
In:
IEEE Transactions on Pattern Analysis and Machine Intelligence.
46
,
12
,
p. 8380-8395
16 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Weakly-Supervised Semantic Segmentation
100%
Segmentation Performance
25%
Vision Transformer
25%
Class Activation Mapping
25%
68
Link opens in a new tab
Citations (Scopus)